\cvdefC{
void cvEigenVV(\par CvArr* mat,\par CvArr* evects,\par CvArr* evals,\par double eps=0,
-\par int lowindex = 0, \par int highindex = 0);}
+\par int lowindex = -1, \par int highindex = -1);}
\cvdefPy{EigenVV(mat,evects,evals,eps,lowindex,highindex)-> None}
\begin{description}
\end{lstlisting}
If either low- or highindex is supplied the other is required, too.
-Indexing is 1-based. Example: To calculate the largest eigenvector/-value set
-lowindex = highindex = 1.
+Indexing is 0-based. Example: To calculate the largest eigenvector/-value set
+\texttt{lowindex=highindex=0}. To calculate all the eigenvalues, leave \texttt{lowindex=highindex=-1}.
For legacy reasons this function always returns a square matrix the same size
as the source matrix with eigenvectors and a vector the length of the source
matrix with eigenvalues. The selected eigenvectors/-values are always in the